So it could be a natural experiment for whether AI can contribute to novel physics. Specifically, there's a big question about weather. Something like our informational understanding of black holes where information inside it is equivalent to information on its boundary (which I'm sure I'm not saying correctly), might be generalized to regular space-time. More people should be freaking out with excitement about this and perhaps it's something to which AI can contribute.
The best thing I can recommend is what I did, which is ask Claude about the significance of (1) quantum computing error correction, and (2) error correction in black hole holography and research convergence between the two.
https://en.wikipedia.org/wiki/Holographic_principle
https://www.quantamagazine.org/how-space-and-time-could-be-a...
Edit: this whole article, despite it's boring title and hook, is maybe the best discussion of holography as a recent and active research frontier.
https://www.quantamagazine.org/if-the-universe-is-a-hologram...
I have no idea what you're hoping the contribution would be. The AdS/CFT correspondence is 29 years old by now and it doesn't seem to apply to our spacetime, where the cosmological constant seems to be positive rather than negative. There are some puzzling consequences of the holographic principle in that scenario as well (https://arxiv.org/pdf/hep-th/0208013), but the linked articles don't talk about them?
Quanta articles are written for people with no background whatsoever, which makes them impenetrable if you have a bit of background and are trying to figure out what they're about. I don't know how good Claude is compared to that -- whenever I try asking any LLM about something I don't understand, it produces a wall of text, I have no idea whether it's correct or relevant, and I look for a textbook or review paper instead.
AdS is 'old' but the articles aren't suggesting it is new, and our spacetime is not AdS and the articles don't suggest otherwise. The point is that there's a search for a way to fit the holographic approach to our spacetime that's inspired by how AdS helps make sense of black holes. Quanta writing being directed at a lay audience ought to be a good thing, not a bad thing and they do link to papers if that's your jam.
Whether or not your LLM of choice produces indecipherable walls of text, and whether it ties those to sufficiently satisfying citations, I think is just a matter of how you go about the prompting.
That said, I don't like them because their articles never leave me feeling like I understood something. They never go in an order of simple to complex and constantly try to hook you. (A positive example to contrast would be 3blue1brown, who manages to both hook you and make you understand, even with rather little background.)
Could you share a link to your Claude conversation? If this is a prompting issue, I would be interested in seeing what's possible. Thanks!
A better example is maybe Maxwell's laws. Maxwell wasn't inventing a theory to try and explain confusing results, he was unifying a chaotic, empirical laws from existing experiments. That may be a cleaner example. That knowledge compression into satisfying theoretical framework is likely what is attractive.
You can potentially ask the same thing about like you say -- general relativity / quantum gravity but also likely plenty of other areas that may be like this today. Again going outside my particular area of expertise: standard model physics is in a large important sense empirical; lots of values and numbers that are simply unmotivated by theory or where we don't have a good way to make a principled theoretical choice. That could be a place where these models are able to help.
But right now: I doubt it. This is what everyone is working furiously on right now. How do you close a "science" verification loop? In principle this should be easy right: you have ideation (exploration, sampling with ~high temperature maybe as an analogue) and you have verification (which of these ideas are good) which amounts to rejection sampling in idea space. You have to have a sampler that is good at picking _good_ ideas for efficiency sake and you need a relatively fast and reliable verification step of "is this idea good and worth continuing to explore". But I may oversimplify
(Note: I am not suggesting we let it do this. Please don't, in fact)